fMRI time series analysis based on stationary wavelet and spectrum analysis
文献类型:期刊论文
作者 | Zhi LH(支联合); ZHAO,Xia; Dan BC(单保慈)![]() ![]() |
刊名 | Progress in Natural Science
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出版日期 | 2006 |
期号 | 11页码:1171-1176 |
关键词 | fMRI stationary wavelet transform spectrum analysis data analysis. |
通讯作者 | 单保慈 |
英文摘要 | The low signal to noise ratio (SNR) of functional MRI (fMRI) prefers more sensitive data analysis methods. Based on stationary wavelet transform and spectrum analysis, a new method with high detective sensitivity was developed for analyzing fMRI time series, which does not require any prior assumption of the characteristics of noises. In the proposed method, every component of fMRI time series in the different time-frequency scales of stationary wavelet transform was discerned by the spectrum analysis, then the components from noises were removed using the stationary wavelet transform, finally the components of real brain activation were detected by cross-correlation analysis. The results obtained from both simulated and in vivo visual experiments illustrated that the proposed method has much higher sensitivity than the traditional cross-correlation method. |
公开日期 | 2016-02-26 |
源URL | [http://ir.ihep.ac.cn/handle/311005/214864] ![]() |
专题 | 高能物理研究所_院士 高能物理研究所_粒子天体物理中心 |
推荐引用方式 GB/T 7714 | Zhi LH,ZHAO,Xia,Dan BC,et al. fMRI time series analysis based on stationary wavelet and spectrum analysis[J]. Progress in Natural Science,2006(11):1171-1176. |
APA | 支联合.,ZHAO,Xia.,单保慈.,PENG,Silong.,YAN,Qiang.,...&唐孝威.(2006).fMRI time series analysis based on stationary wavelet and spectrum analysis.Progress in Natural Science(11),1171-1176. |
MLA | 支联合,et al."fMRI time series analysis based on stationary wavelet and spectrum analysis".Progress in Natural Science .11(2006):1171-1176. |
入库方式: OAI收割
来源:高能物理研究所
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